Research Repository

Open Source Information’s Blind Spots: Human and Machine Bias in International Criminal Investigations

McDermott, Yvonne and Koenig, Alexa and Murray, Daragh (2021) 'Open Source Information’s Blind Spots: Human and Machine Bias in International Criminal Investigations.' Journal of International Criminal Justice, 11 (3). ISSN 1478-1387

[img]
Preview
Text
mqab006.pdf - Published Version
Available under License Creative Commons Attribution.

Download (195kB) | Preview

Abstract

Digital open source information has been heralded for its democratizing potential, insofar as it allows access to a much broader range of sources and voices than would normally be consulted through traditional methods of information gathering for international criminal investigations. It also helps to overcome some of the physical access barriers that are commonplace in international criminal investigations. At a time when the use of digital open source information is becoming more widespread, this article warns of the cognitive and technical biases that can impact upon two key stages of an investigation: finding relevant information and analysing that information. At the information-gathering stage, there are particular crimes, regions and groups of people whose experiences are more likely to be overlooked or hidden in digital open source investigations. When it comes to analysing digital open source information, there is a danger that cognitive and technical biases may influence which information is deemed most relevant and useful to an international criminal investigation, and how that information is interpreted. This article proposes some steps that can be taken to mitigate these risks.

Item Type: Article
Divisions: Faculty of Humanities > Law, School of
Depositing User: Elements
Date Deposited: 20 May 2021 09:54
Last Modified: 20 May 2021 09:54
URI: http://repository.essex.ac.uk/id/eprint/30118

Actions (login required)

View Item View Item